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- W1966070807 abstract "Abstract This paper deals with the prediction of the amount of outstanding automobile claims that an insurance company will pay in the near future. We consider various competing models using Bayesian theory and Markov chain Monte Carlo methods. Claim counts are used to add a further hierarchical stage in the model with log-normally distributed claim amounts and its corresponding state space version. This way, we incorporate information from both the outstanding claim amounts and counts data resulting in new model formulations. Implementation details and illustrations with real insurance data are provided." @default.
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- W1966070807 date "2002-01-01" @default.
- W1966070807 modified "2023-10-03" @default.
- W1966070807 title "Bayesian Modelling of Outstanding Liabilities Incorporating Claim Count Uncertainty" @default.
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- W1966070807 doi "https://doi.org/10.1080/10920277.2002.10596032" @default.
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